Artificial Intelligence & Machine Learning Architect SME

About this role

Type of Requisition: Regular

Clearance Level Must Currently Possess: None

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: BI Full 6C (T4)

Job Family: Data Science and Data Engineering

Job Qualifications: Skills: Artificial Intelligence (AI), Big Data, Data Analysis Certifications: None Experience: 15 + years of related experience US Citizenship Required: No

Job Description: AI/ML ENGINEER SME

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an AI/ML Engineer SME at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Architect Subject Matter Expert supporting the Case Management Modernization (CMM) Program.

GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The AI/ML Architect SME will work as part of an agile development team to build and support the modernization of enterprise-class software applications.

RESPONSIBILITIES: • Define, document, and maintain a scalable, modular AI/ML architecture  that aligns with enterprise cloud strategy and product requirements for the CMM initiative • Architect and implement end-to-end AI/ML pipelines  including data ingestion, feature engineering, model training, deployment, monitoring, and retraining. • Integrate MLOps best practices  for continuous integration, delivery, and lifecycle management of machine learning models • Ensure multi-tenant and multi-region AI/ML workloads  are elastic, highly available, and cost-efficient • Leverage Infrastructure-as-Code (IaC)  tools to provision and manage cloud-based AI/ML infrastructure in accordance with federal compliance and security standards • Design and support reusable, secure, and performant AI/ML services  and APIs to be consumed by enterprise applications • Conduct model validation and optimization in cloud environments, ensuring responsible AI practices, fairness, and transparency • Maintain AI/ML architecture documentation and update artifacts per sprint cycles or as changes occur • Support the inclusion of AI/ML metrics, resource utilization, and performance KPIs in technical dashboards and reports • Guide teams on the selection and integration of third-party ML tools, frameworks, or SaaS offerings  in a secure and compliant manner

REQUIRED EXPERIENCE & QUALIFICATIONS: • Education: BA/BS or equivalent required; Master's of Arts or Science in related field preferred • Experience: 15+ years of specialized experience in information systems required • Experience may be considered in lieu of degree as follows: HS (19+ years), AA/AS (17+ years), BA/BS (15+ years), MA/MS (13+ years), Doctorate Degree/Ph.D. (12+ years) • Proven success in architecting and deploying ML workflows in cloud environments  (AWS SageMaker, Azure ML, GCP Vertex AI) • Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn , XGBoost, or Keras • Strong programming skills in Python , with experience in containerization (Docker) and orchestration (Kubernetes) for ML workloads • Experience with MLOps tools  (MLflow, Kubeflow, TFX, Airflow) and CI/CD integration for model deployment • Familiarity with federal data governance, security, and privacy standards , including JISF, NIST 800-53, and FedRAMP • Proficient in using IaC tools  such as Terraform, CDK, or CloudFormation to automate cloud ML infrastructure • Experience with multi-tenant, distributed systems , and cloud-native architecture patterns

Preferred Certification(s): • Relevant certifications such as AWS Certified Machine Learning – Specialty , Google Professional ML Engineer , or equivalent preferred but not required

Security Clearance Level: Must be able to pass a background check to obtain a position of Public Trust.   Must be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen).

Location: Remote.

GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. ● Growth: AI-powered career tool that identifies career steps and learning opportunities ● Support: An internal mobility team focused on helping you achieve your career goals ● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off ● Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $195,240 - $264,148. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours: 40

Travel Required: Less than 10%

T elecommuting Options: Remote

Work Location: Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employ

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